Joint Source Localization and Association Through Overcomplete Representation Under Multipath Propagation Environment
Author:
Affiliation:
1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore
2. Xidian University,National Laboratory of Radar Signal Processing,Xi’an,China
Funder
National Science Fund for Distinguished Young Scholars
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747566.pdf?arnumber=9747566
Reference22 articles.
1. Joint DOA and fundamental frequency estimation based on relaxed iterative adaptive approach and optimal filtering
2. Maximum likelihood parameter estimation of superimposed chirps using Monte Carlo importance sampling
3. Optimized orthogonal matching pursuit approach
4. Multisnapshot Sparse Bayesian Learning for DOA
5. Estimation of Fading Coefficients in the Presence of Multipath Propagation
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2. Gridless DOA Estimation Using Complex-Valued Convolutional Neural Network With Phasor Normalization;IEEE Signal Processing Letters;2023
3. An Iterative Implementation-Based Approach for Joint Source Localization and Association Under Multipath Propagation Environments;IEEE Transactions on Signal Processing;2023
4. A Dilated Inception Convolutional Neural Network for Gridless DOA Estimation Under Low SNR Scenarios;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07
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